Lorenzo Pacchiardi

According to our database, Lorenzo Pacchiardi authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization.

Lorenzo Pacchiardi, Rilwan A. Adewoyin, Peter Dueben, Ritabrata Dutta

J. Mach. Learn. Res., 2024

100 instances is all you need: predicting the success of a new LLM on unseen data by testing on a few instances.

Lorenzo Pacchiardi, Lucy G. Cheke, José Hernández-Orallo

CoRR, 2024

How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions.

Lorenzo Pacchiardi, Alex James Chan, Sören Mindermann, Ilan Moscovitz, Alexa Y. Pan, Yarin Gal, Owain Evans, Jan Markus Brauner

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Statistical inference in generative models using scoring rules.

Lorenzo Pacchiardi

PhD thesis, 2022

Score Matched Neural Exponential Families for Likelihood-Free Inference.

Lorenzo Pacchiardi, Ritabrata Dutta

J. Mach. Learn. Res., 2022

Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization.

Lorenzo Pacchiardi, Ritabrata Dutta

CoRR, 2022

2021

Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic.

Ritabrata Dutta, Susana N. Gomes, Dante Kalise, Lorenzo Pacchiardi

PLoS Comput. Biol., 2021

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation.

Ritabrata Dutta, Marcel Schöngens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira

J. Stat. Softw., 2021

Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization.

Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben, Ritabrata Dutta

CoRR, 2021